![\"Ashley](\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2020\/03\/Headshot_300x300.jpg\")
In our first\nblog<\/a> on this topic, we discussed the problems AM users often encounter\nresulting in printing failures. In this blog, we will present how companies are\nachieving quality prints at an industrial scale by adopting expert-guided software\nfor aiding in first-time-right printing. \nThis significantly decreases the need for test prints and printing\niterations to produce quality results.<\/p>\n\n\n\n However, before we discuss software, it is worth noting one of\nthe ways companiesare addressing the quality problem with AM via specialization<\/em>. In this case, a company will limit their\nhardware to a single or limited number of vendors and their materials as\nwell. This has the effect of removing\nvariables from the process. However,\nthis also has the result of limiting their opportunities because they may not\nbe in the position to take advantage of innovative new technologies or\nmaterials. <\/p>\n\n\n\n Therefore, specialization is one method being used to reduce\nthe number of failures with additive, but it has its own costs.<\/p>\n\n\n\n The overarching\nhurdle to meeting volume demands is achieving first-time-right<\/em> printing \u2013 a difficult task. Printing a\npart correctly at scale requires careful research and expertise, often at a large\nexpense, so companies are looking for creative ways to short-circuit this\nknowledge acquisition process. One way\nto do this is through software.<\/p>\n\n\n\n Additive manufacturing simulation software helps companies\noptimize their AM process without the lengthy knowledge acquisition learning curve. Additive manufacturing optimization\nsoftware provides answers to difficult production problems by simulating the AM\nproduction process at various levels. <\/p>\n\n\n\n First, we will look at how users of AM can use software tools to alter\ntheir printing process. In\nNovember of 2019, Siemens acquired Atlas 3D<\/a> and their AM simulation tool,\nSunata. Sunata works with direct metal\nlaser sintering (DMLS) printers to automatically provide design engineers with\nthe optimal print orientation and requisite support structures for additive\nparts in real-time.<\/p>\n\n\n\n Atlas 3D\u2019s Sunata\u2122 software<\/a> contributes to print quality by using\nthermal distortion analysis to provide simple automation for optimizing part\nbuild orientation and generating support structures. This method allows the\ndesigner\u2014rather than the analyst\u2014to complete these simulations, reducing the\ndownstream analysis via software for achieving and meeting design requirements \u201cOur solutions industrialize additive manufacturing for large\nenterprises, 3D printing service bureaus, design firms and CAD designers,\u201d <\/em>says\nZvi Feuer, Senior Vice President, Manufacturing Engineering Software of Siemens\nDigital Industries Software. \u201cThe cloud-based\nSunata software makes it easy for designers to determine the optimal way to 3D\nprint parts for high quality and repeatability. The combination of Sunata with\nthe robust CAE additive manufacturing tools in Simcenter enables a \u2018right-\nfirst-time\u2019 approach for industrial 3D printing.\u201d<\/em><\/p>\n\n\n\n Siemens also has other tools for improving first article print quality. These include Simcenter 3D AM and the forthcoming Path Optimizer. These tools work at different levels to simulate the printing process in detail, attempting to identify and correct areas of distortion, shrinkage, etc. Simcenter 3D AM and the Path Optimizer both look at the deposition process in a very granular fashion, using different techniques to also help customers print first-time-right parts.<\/p>\n\n\n\n As the processes for additive manufacturing continue to be\nrefined, we expect first-time-right printing to eventually become the\nnorm. However, this will take some time,\nand in the interim, simulation of the printing process is the best way to\nreduce the iteration cycle required to achieve high quality prints. Tools like Sunata, Simcenter 3D AM and Path\nOptimizer assist in this process, bringing the vision of a first-time-right\nprinting closer to reality.<\/p>\n\n\n\n There is no overstating the benefit of addressing the\nchallenges of high failure rates. \nAchieving a higher ROI is becoming a necessity to compete in the\nadditive manufacturing space. Therefore, tools like these are becoming a\nrequirement for advancing a company efficiently towards first-time-right\nprinting.<\/p>\n\n\n\n This concludes the second blog in this series on the challenges of industrializing additive manufacturing, discussing first-time-right printing, providing technology for where today meets tomorrow. Our third blog will continue discussing this topic at a case study level, addressing build materials, durability, machine algorithms and fatigue properties for print build orientations.<\/em><\/p>\n\n\n\n Related Links:<\/strong> <\/p>\n\n\n\n <\/p>\n\n\n\n About the author: Solutions for achieving additive manufacturing first-time-right printing.<\/p>\n","protected":false},"author":28801,"featured_media":3343,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spanish_translation":"","french_translation":"","german_translation":"","italian_translation":"","polish_translation":"","japanese_translation":"","chinese_translation":"","footnotes":""},"categories":[1],"tags":[],"industry":[],"product":[],"coauthors":[],"class_list":["post-3340","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"featured_image_url":"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2020\/03\/am-first-time-right-3D-printing.jpg","_links":{"self":[{"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/posts\/3340","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/users\/28801"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/comments?post=3340"}],"version-history":[{"count":5,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/posts\/3340\/revisions"}],"predecessor-version":[{"id":3682,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/posts\/3340\/revisions\/3682"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/media\/3343"}],"wp:attachment":[{"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/media?parent=3340"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/categories?post=3340"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/tags?post=3340"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/industry?post=3340"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/product?post=3340"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/coauthors?post=3340"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Solutions via specialization<\/h3>\n\n\n\n![\"\"](\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2020\/03\/additive-manufacturing-challenges-1024x439.jpg\")
<\/figure>\n\n\n\nReducing failures via software solutions<\/h3>\n\n\n\n
.<\/s><\/p>\n\n\n\nThe future \u2013 First time right printing by default<\/h3>\n\n\n\n
\u2013\u00a0Additive manufacturing failures (Part 1)<\/a>
\u2013 Press Release \u2013 Siemens expands additive manufacturing portfolio through the acquisition of Atlas 3D<\/a>
\u2013\u00a0Additive manufacturing overview<\/a>
\u2013 Webinar: Industrializing Additive Manufacturing 3D Printing through an Integrated, End-to-end Process<\/a><\/p>\n\n\n\n
Ashley Eckhoff<\/strong> has a background in engineering and has been with Siemens for over 20 years in various capacities. He has spent the past few years deep-diving into additive manufacturing in both product design and marketing roles.<\/em> <\/p>\n","protected":false},"excerpt":{"rendered":"